For the latest Slicer documentation, visit the 4.10 page.
Introduction and Acknowledgements
This work is part of the National Alliance for Medical Image Computing (NA-MIC), funded by the National Institutes of Health through the NIH Roadmap for Medical Research, Grant U54 EB005149. Information on NA-MIC can be obtained from the NA-MIC website.
Most frequently used for these scenarios:
- Use Case 1:
- Use Case 2:
Links to tutorials that use this module
Panels and their use
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- Trace: trace of the diffusion tensor (equal to the sum of its eigenvalues). Trace = 3 * MD, where MD is mean diffusivity.
- Determinant: determinant of diffusion tensor.
- RelativeAnisotropy: ratio of the anisotropic part of the diffusion tensor to the isotropic part (Basser, 1994)
- FractionalAnisotropy: the degree of anisotropy of diffusion (Between 0 and 1 where 0 = completely isotropic, 1 = completely anisotropic). This measure can be thought of as quantifying how far the shape of diffusion is from a sphere.
- Mode: Quantifies how linear or planar the diffusion is (cigar vs. pancake shape). FA and mode are orthogonal measures. (Ennis & Kindlmann, 2006).
- LinearMeasure: is high in "cigar-shape" tensors, where the first eigenvalue is much larger than the others (Westin, 2002).
- PlanarMeasure: is high in "pancake-shape" planar tensors, where the smallest eigenvalue is much less than the others (Westin, 2002).
- SphericalMeasure: is high where all three eigenvalues are equal, giving a "sphere-shape" of the tensor (Westin, 2002).
- MinEigenvalue: the smallest of the three eigenvalues of the diffusion tensor (also called lambda 3).
- MidEigenvalue: the second smallest eigenvalue of the diffusion tensor (also called lambda 2).
- MaxEigenvalue: the largest of the three eigenvalues of the diffusion tensor (also called lambda 1).
- MaxEigenvalueProjectionX: this is the max eigenvalue (lambda 1) times the x component of the major eigenvector.
- MaxEigenvalueProjectionY: this is the max eigenvalue (lambda 1) times the y component of the major eigenvector.
- MaxEigenvalueProjectionZ: this is the max eigenvalue (lambda 1) times the z component of the major eigenvector.
- RAIMaxEigenvecX: relative anisotropy times the x component of the major eigenvector.
- RAIMaxEigenvecY: relative anisotropy times the y component of the major eigenvector.
- RAIMaxEigenvecZ: relative anisotropy times the z component of the major eigenvector.
- D11: one of the values on the diagonal of the tensor: D11 is the upper left corner.
- D22: one of the values on the diagonal of the tensor: D22 is the middle.
- D33: one of the values on the diagonal of the tensor: D33 is the lower right corner.
- ParallelDiffusivity: this is equal to the first eigenvalue, lambda 1.
- PerpendicularDiffusivity: this is the average of the smaller two eigenvalues, lambda 2 and lambda 3.
- Point to other modules that have similar functionality
Publications related to this module go here. Links to pdfs would be useful. For extensions: link to the source code repository and additional documentation
Information for Developers
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